Embodied artificial intelligence in ophthalmology
Abstract Embodied artificial intelligence (EAI) integrates perception, memory, reasoning and action through physical interaction, enabling multimodal dynamic learning and real-time feedback. In ophthalmology, EAI supports data-driven decision-making, improving the precision and personalization of di...
Saved in:
| Main Authors: | Yao Qiu, Xiaolan Chen, Xinyuan Wu, Yunqian Li, Pusheng Xu, Kai Jin, Xianwen Shang, Peranut Chotcomwongse, Mingguang He, Danli Shi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
|
| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-025-01754-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
DeepSeek-R1 outperforms Gemini 2.0 Pro, OpenAI o1, and o3-mini in bilingual complex ophthalmology reasoning
by: Pusheng Xu, et al.
Published: (2025-08-01) -
EyeGPT for Patient Inquiries and Medical Education: Development and Validation of an Ophthalmology Large Language Model
by: Xiaolan Chen, et al.
Published: (2024-12-01) -
A multimodal visual–language foundation model for computational ophthalmology
by: Danli Shi, et al.
Published: (2025-06-01) -
The Data Advantage: Artificial Intelligence in Ophthalmology
by: Rito Maitra, et al.
Published: (2024-10-01) -
Artificial intelligence in ophthalmology: the present and the future
by: V. V. Neroev, et al.
Published: (2024-07-01)